CloudAcademy

Getting Started with Docker on Linux for AWS

The hands-on lab is part of this learning path

Docker in Depth

course-steps 3 certification 1 lab-steps 2

Lab Steps

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Logging in to the Amazon Web Services Console
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Connecting to the Virtual Machine using SSH
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Installing Docker on Linux
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Using Docker without Root Permission on Linux
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Getting Docker Help from the Command Line
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Running Your First Docker Container
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Creating Your First Docker Image
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Cleaning Up Your Docker Containers and Images

Ready for the real environment experience?

DifficultyBeginner
Duration1h 20m
Students283

Description

Lab Overview

Docker has taken DevOps by storm and ignited interest in containers. Containers offer many of the benefits of virtual machines but in a much more efficient, less resource-intensive system. Containers allow you to package up an application in an isolated environment that can be executed across machines in a reproducible manner. No more "well, it worked on my machine" syndrome when you leverage Docker for your application development and deployment.

In this Lab, you will get up and running with Docker on Linux using an AWS virtual machine. You will work with images from the public Docker registry, run a handful of containers, and create your own image from which to create containers. 

Lab Objectives

Upon completion of this lab you will be able to:

  • Install Docker on Linux using an AWS virtual machine
  • Add a user to the Docker group
  • Find and use images from the public Docker Registry
  • Build your own images using Dockerfiles
  • Clean up after images and containers are finished

Lab Prerequisites

You should be familiar with:

  • What containers are
  • Working at the command line in Linux

Lab Environment

Before completing the lab instructions the environment will look as follows:

 

After completing the lab instructions the environment should look similar to:

About the Author

Students6161
Labs57
Courses3
Learning paths2

Logan has been involved in software development and research for over eleven years, including six years in the cloud. He is an AWS Certified DevOps Engineer - Professional, MCSE: Cloud Platform and Infrastructure, and Certified Kubernetes Administrator (CKA). He earned his Ph.D. studying design automation and enjoys all things tech.